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All Journal Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII
Nurcahyani Dewi Retnowati
STTA Yogyakarta
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Transportation

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Journal : Compiler

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PENGENALAN WARNA BERBASIS ANDROID MENGGUNAKAN METODE TEMPLATE MATCHING Indra Hading Kurniawan; Nurcahyani Dewi Retnowati
Compiler Vol 7, No 1 (2018): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (542.095 KB) | DOI: 10.28989/compiler.v7i1.278

Abstract

Template matching method is a simple and widely used method to recognize patterns. The weakness of this algorithm is the limited model that will be used as a template as a comparison in the database such as shape, size, and orientation. The Extraction Feature algorithm addresses the problem of template models such as the shape, size, and orientation that exist in the matching template algorithm by mapping the characteristics of the image object to be recognized. Optical character recognition is used to translate characters into digital images into text formats. Its simple implementation makes the template matching method widely used. In this final project discusses the introduction of color in an image to be detected color, this color recognition is not fully successful because of the influence of lightness. The workings of this application take picture is by taking a picture and then the application identifies the color of any existing and will issue results in the form of text percent, with a success rate of 15% and 85% failure when detecting a color.
APLIKASI KONVERTER KALIMAT AKTIF-PASIF BERBASIS ANDROID Asih Pujiastuti; Nurcahyani Dewi Retnowati; Nurwahiddatur Rohman
Compiler Vol 6, No 2 (2017): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (837.243 KB) | DOI: 10.28989/compiler.v6i2.231

Abstract

Active-Passive Sentences Converter is an android-based application that aims to transform active sentences into passive voice, it’s expected to facitate help elementary school children especially in particular to transform the active-passive sentences. The system on the application does not work if the entered sentences does not meet the S-P-O element, and for the predicate is not the same  as the active verb. If the user has entered the sentence in accordance with the standard active sentence then system will move the object on the active sentence into the subject on the passive sentence as well as the subject becomes the object, and replace the active verb into a passive verb with the particle di- on the predicate. This application can only be operated at least on 4.4 Kitkat android version. The result of the application tested was awesome with the 92% of correct percentage, after applied at three elementary schools are SD Jomblangan, SDN Adisucipto, SDIT Salsabila Al Muthi’in, SDN Berbah 1 and SD Muhammadiyah Noyokerten.
Co-Authors Anton Setiawan Honggowibowo Astika Ayuningtyas Daru Retnowati Indra Hading Kurniawan Mahmuda Ghazni Rahmawan Nurwahiddatur Rohman Pujiastuti, Asih Yuliani Indrianingsih